Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Coding bounded support data with beta distribution
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2010 (English)In: Proceedings - 2010 2nd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2010, 2010, 246-250 p.Conference paper, Published paper (Refereed)
Abstract [en]

The probability density function (PDF) optimized quantization has been shown to be more efficient than the conventional quantization methods. In practical application, the data with bounded support can be modelled better with bounded support distribution (e.g. beta distribution, Dirichlet distribution) and a better quantization performance could be achieved by a more reasonable modelling. In this paper, we study the distortion rate (D-R) performance and the high rate quantization performance of the beta distribution. To implement a quantizer efficiently, a practical quantization scheme is proposed. The proposed scheme takes the advantages of conventional compander and exhaustive training. The advantage of the proposed scheme is verified with both theoretical experiment and practical application.

Place, publisher, year, edition, pages
2010. 246-250 p.
Series
Trita-S3-SIP, ISSN 1652-4500
Keyword [en]
beta distribution, bounded support data, high rate quantization, line spectral frequencies, source coding
National Category
Engineering and Technology
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-34268DOI: 10.1109/ICNIDC.2010.5657779Scopus ID: 2-s2.0-78651280096ISBN: 978-1-4244-6851-5 (print)OAI: oai:DiVA.org:kth-34268DiVA: diva2:420033
Conference
2010 2nd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2010; Beijing; 24 September 2010 through 26 September 2010
Available from: 2011-05-30 Created: 2011-05-30 Last updated: 2011-09-28Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Ma, ZhanyuLeijon, Arne
By organisation
Sound and Image Processing
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 40 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf